Showing 14 open source projects for "materials science"

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  • 1
    SIT742

    SIT742

    SIT742: Modern Data Science

    SIT742: Modern Data Science.
    Downloads: 0 This Week
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  • 2
    FairChem

    FairChem

    FAIR Chemistry's library of machine learning methods for chemistry

    FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations,...
    Downloads: 7 This Week
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  • 3
    InterviewGuide

    InterviewGuide

    Repository that collects extensive computer science

    InterviewGuide is a widely-starred open-source repository that collects extensive computer science learning notes, interview preparation materials, and job search strategies aimed especially at students and early-career developers. It was created by a developer who documented his own journey from campus to tech industry, including detailed learning pathways for languages like C/C++, Go, JavaScript, and frameworks like Vue, as well as topics such as operating systems, networks, databases, and Redis. ...
    Downloads: 0 This Week
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  • 4
    Learning-SICP

    Learning-SICP

    Collection of Chinese cultural projects and course learning materials

    Learning-SICP is a community project that localizes the MIT course “Structure and Interpretation of Computer Programs” (SICP) and curates complementary study materials for learners, especially Chinese-speaking Scheme/Lisp students. It focuses on translating the official lecture subtitles into Chinese while preserving the original English content for reference, providing an approachable path to a classic foundational course in computer science. The repository organizes translated subtitles, lecture indices, and supporting documents so learners can follow along with the full video series and consult the book and related readings as they study. ...
    Downloads: 1 This Week
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  • 5
    Julia.jl

    Julia.jl

    Curated decibans of Julia programming language

    Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. ...
    Downloads: 0 This Week
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  • 6
    OpenNum

    OpenNum

    OpenNum lets you distribute solvers with a nice graphical interface

    Typically, to program a GUI is time consuming and requires experience with graphic libraries. OpenNum lets you create a graphical interface adapted to your solvers by simply editing an XML configuration file. More specifically, OpenNum lets you · to collect a hierarchical dataset, · to call any executable file and · to visualize scalar and vector fields, plot graphs or show simple plain text files. It also has other useful utilities specifically designed for numerical...
    Downloads: 0 This Week
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  • 7
    CyC2018.github.io

    CyC2018.github.io

    Personal knowledge site built with GitHub Pages

    This is a personal knowledge site built with GitHub Pages, organizing computer science notes and study materials in a browsable format. It aggregates content across algorithms, data structures, networking, operating systems, databases, and interview preparation into a coherent index. The presentation emphasizes succinct explanations paired with diagrams, tables, or code snippets to speed recall. Because the site is generated from a repository, it benefits from issue tracking, pull requests, and version history, making it easy to update and maintain. ...
    Downloads: 1 This Week
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  • 8
    Pack-Print-Cut

    Pack-Print-Cut

    Packing two dimensional rectangular elements at orthogonal table

    Program was created for optimized packing of two dimensional rectangular elements at orthogonal table with main purpose of printing cutting sheets that can be used for cutting material at production in wood and panel furniture manufacturing. It is developed upon authors several years of experience at woodworking, and actual carpenters needs when such software is in question. In spite its look it is fully functional peace of software , with all necessary elements needed for generating...
    Downloads: 1 This Week
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  • 9
    CASUP

    CASUP

    Cellular Automata library for SUPercomputers (CASUP)

    CASUP is a Cellular Automata (CA) library for HPC and supercomputers. It can be used in materials science (microstructure evolution, grain coarsening, fracture etc.), physics (Ising magnetisation) and for many other CA. If you use the library, please reference it as: A. Shterenlikht, L. Margetts, Three-dimensional cellular automata modelling of cleavage propagation across crystal boundaries in polycrystalline microstructures, Proc.
    Downloads: 0 This Week
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  • 10
    coarrays

    coarrays

    A free Fortran 2008, 2018 coarrays course with notes and exercises

    Coarrays are native Fortran means for SPMD parallel programming. At runtime multiple copies of the executable (called images) are executing asynchronously. The F2008 standard provides coarray syntax, remote calls, coarray data objects, allocatable coarrays, syncronisation, atomics, etc. F2018 adds new functionality, e.g. collectives, teams, events, more atomics. Coarrays are used extensively in CASUP library for HPC (https://cgpack.sourceforge.io). The course is aimed at experienced...
    Downloads: 1 This Week
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  • 11
    data-science-ipython-notebooks

    data-science-ipython-notebooks

    Data science Python notebooks: Deep learning

    ...Advanced sections touch on neural networks and distributed computing topics, helping you bridge from basics to production-adjacent workflows. The collection is suitable for self-paced study, quick reference, or as teaching materials in workshops. By combining narrative explanations with executable code, it shortens the path from theory to working prototypes.
    Downloads: 0 This Week
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  • 12
    The Virtual Laboratory for Earth and Planetary Materials (VLab) collaborative GRID-based environment. Concentrating on scientific computation workflows and auto-generation of visualization services. http://vlab.msi.umn.edu
    Downloads: 0 This Week
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  • 13
    RSane Publisher allows a team of authors to easily maintain shared documents. Publisher speeds authoring of large structured documents, especially technical, business, and reference materials. Runs on Java, JBoss, and Tomcat.
    Downloads: 0 This Week
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  • 14

    hemcuveGUI

    hemcuveGUI is a graphical interface for HEMCUVE++

    hemcuveGUI is a graphical interface for HEMCUVE++ (see http://tsc.unex.es/~llandesa/page17/page17.html). More specifically, hemcuveGUI lets you · to collect all the data required by HEMCUVE++, · to manage a materials database, · to call the external executable HEMCUVE++ and · to visualize its results.
    Downloads: 0 This Week
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